Texture analysis based on U-Net neural network for intracranial hemorrhage identification predicts early enlargement.

Journal: Computer methods and programs in biomedicine
Published Date: May 3, 2021

Abstract

BACKGROUND AND OBJECTIVE: Early hemorrhage enlargement in hypertensive cerebral hemorrhage indicates a poor prognosis. This study aims to predict the early enlargement of cerebral hemorrhage through the intelligent texture analysis of cerebral hemorrhage after segmentation.

Authors

  • Yu Liu
    Research Center of Information Technology, Beijing Academy of Agriculture and Forestry Science, Beijing, China.
  • Qiong Fang
    Department of Basic Medicine, Anhui Medical College, Hefei 230601, China. Electronic address: fangqamc@163.com.
  • Anhong Jiang
    Department of Radiology, The Second Affiliated Hospital of Anhui Medical University, Hefei 230601, China. Electronic address: janhongf@sina.com.
  • Qingling Meng
    Department of Anatomy, Anhui Medical University, 81 Meishan Road, Hefei 230032, China. Electronic address: ql-meng@163.com.
  • Gang Pang
    Department of Anatomy, Anhui Medical University, 81 Meishan Road, Hefei 230032, China. Electronic address: gangpang1975@aliyun.com.
  • Xuefei Deng
    Department of Anatomy, Anhui Medical University, 81 Meishan Road, Hefei 230032, China. Electronic address: dengxf@ahmu.edu.cn.

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